Pandas To_Html() Truncates String Contents

Pandas to_html() truncates string contents

What you are seeing is pandas truncating the output for display purposes only.

The default max_colwidth value is 50 which is what you are seeing.

You can set this value to whatever you desire or you can set it to -1 which effectively turns this off:

pd.set_option('display.max_colwidth', -1)

Although I would advise against this, it would be better to set it to something that can be displayed easily in your console or ipython.

A list of the options can be found here: http://pandas.pydata.org/pandas-docs/stable/options.html

Is there a way around very long strings of parsed bytes in Python? / to_html

I am unable to reproduce your error. Perhaps it is machine/version specific. The html is rendered fine in my mac.

(based on this):

What you are seeing is pandas truncating the output for display purposes only.

Solution:

with pd.option_context('display.max_colwidth', -1): 
    popcorn.to_html('popcorn.html', escape=False)

How can I display full (non-truncated) dataframe information in HTML when converting from Pandas dataframe to HTML?

Set the display.max_colwidth option to None (or -1 before version 1.0):

pd.set_option('display.max_colwidth', None)

set_option documentation

For example, in IPython, we see that the information is truncated to 50 characters. Anything in excess is ellipsized:

If you set the display.max_colwidth option, the information will be displayed fully:

Writing full contents of Pandas dataframe to HTML table

So there is probably a pandas-specific explanation, but you could also work around the problem by (a) replacing the links with a key value, (b) writing the html table string, and then (c) replacing the keys with the appropriate links.

For example, replace each link with a key, storing the keys in a dict:

map = {}
for i in df.index:
    counter = 0
    if df.ix[i]['Links'] in map:
        df.ix[i, 'Links'] = map[df.ix[i]['Links']]
    else:
        map[df.ix[i, 'Links']] = 'href' + str(counter)
        counter += 1
        df.ix[i, 'Links'] = map[df.ix[i]['Links']]

Write the table:

table_1 = df.to_html(classes='table',index=False,escape=False)

Re-write the links:

for key, value in map.iteritems():
    table_1 = table_1.replace(value, key)

How to stop my pandas data table from being truncated when printed?

You can set options on how to display your dataframes:

pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 150)

If you add this before you print anything, your dataframe will be printed in the format you'd expect

to_html replacing , in daraframes with weird characters while converting it to html

You can set escape argument in df.to_html to False, to prevent special characters escaping:

    df.to_html(index_names=False, escape=False)

It is set to True by default and it convert the characters <, >, and & to HTML-safe sequences.

Pandas to_html does not show the appended data

Because pandas DataFrame.append not working inplace is necessary assign output back:

df_test = df_test.append({'TEST1':11, 'TEST2':22}, ignore_index=True)
df_test = df_test.append({'TEST1':33, 'TEST2':44}, ignore_index=True)

Displaying full content of DataFrame cell without ellipsis truncating the text

You can use options.display.max_colwidth to specify you want to see more in the default representation:

In [2]: df
Out[2]:
                                                 one
0                                                one
1                                                two
2  This is very long string very long string very...

In [3]: pd.options.display.max_colwidth
Out[3]: 50

In [4]: pd.options.display.max_colwidth = 100

In [5]: df
Out[5]:
                                                                               one
0                                                                              one
1                                                                              two
2  This is very long string very long string very long string veryvery long string

reference - Print very long string completely in pandas dataframe

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